A comparison of recording modalities of P300 event-related potentials (ERP) for brain-computer interface (BCI) paradigm. 2013

L Mayaud, and M Congedo, and A Van Laghenhove, and D Orlikowski, and M Figère, and E Azabou, and F Cheliout-Heraut
Inserm, UMR805, centre d'investigation clinique et d'innovation technologique (CICIT), hôpital Raymond-Poincaré, 104, boulevard Raymond-Poincaré, 92380 Garches, France; EA4497, université Versailles Saint-Quentin (UVSQ), Versailles, France; UVSQ, hôpital Raymond-Poincaré, AP-HP, Garches, France; Institute of Biomedical Engineering (IBME), University of Oxford, Oxford, UK. Electronic address: louis.mayaud@gmail.com.

OBJECTIVE A brain-computer interface aims at restoring communication and control in severely disabled people by identification and classification of EEG features such as event-related potentials (ERPs). The aim of this study is to compare different modalities of EEG recording for extraction of ERPs. The first comparison evaluates the performance of six disc electrodes with that of the EMOTIV headset, while the second evaluates three different electrode types (disc, needle, and large squared electrode). METHODS Ten healthy volunteers gave informed consent and were randomized to try the traditional EEG system (six disc electrodes with gel and skin preparation) or the EMOTIV Headset first. Together with the six disc electrodes, a needle and a square electrode of larger surface were simultaneously recording near lead Cz. Each modality was evaluated over three sessions of auditory P300 separated by one hour. RESULTS No statically significant effect was found for the electrode type, nor was the interaction between electrode type and session number. There was no statistically significant difference of performance between the EMOTIV and the six traditional EEG disc electrodes, although there was a trend showing worse performance of the EMOTIV headset. However, the modality-session interaction was highly significant (P<0.001) showing that, while the performance of the six disc electrodes stay constant over sessions, the performance of the EMOTIV headset drops dramatically between 2 and 3h of use. Finally, the evaluation of comfort by participants revealed an increasing discomfort with the EMOTIV headset starting with the second hour of use. CONCLUSIONS Our study does not recommend the use of one modality over another based on performance but suggests the choice should be made on more practical considerations such as the expected length of use, the availability of skilled labor for system setup and above all, the patient comfort.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D001921 Brain The part of CENTRAL NERVOUS SYSTEM that is contained within the skull (CRANIUM). Arising from the NEURAL TUBE, the embryonic brain is comprised of three major parts including PROSENCEPHALON (the forebrain); MESENCEPHALON (the midbrain); and RHOMBENCEPHALON (the hindbrain). The developed brain consists of CEREBRUM; CEREBELLUM; and other structures in the BRAIN STEM. Encephalon
D004566 Electrodes Electric conductors through which electric currents enter or leave a medium, whether it be an electrolytic solution, solid, molten mass, gas, or vacuum. Anode,Anode Materials,Cathode,Cathode Materials,Anode Material,Anodes,Cathode Material,Cathodes,Electrode,Material, Anode,Material, Cathode
D004569 Electroencephalography Recording of electric currents developed in the brain by means of electrodes applied to the scalp, to the surface of the brain, or placed within the substance of the brain. EEG,Electroencephalogram,Electroencephalograms
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D055815 Young Adult A person between 19 and 24 years of age. Adult, Young,Adults, Young,Young Adults
D062207 Brain-Computer Interfaces Instrumentation consisting of hardware and software that communicates with the BRAIN. The hardware component of the interface records brain signals, while the software component analyzes the signals and converts them into a command that controls a device or sends a feedback signal to the brain. Brain Machine Interface,Brain-Computer Interface,Brain-Machine Interfaces,Brain Computer Interface,Brain Computer Interfaces,Brain Machine Interfaces,Brain-Machine Interface,Interface, Brain Machine,Interface, Brain-Computer,Interface, Brain-Machine,Interfaces, Brain Machine,Interfaces, Brain-Computer,Interfaces, Brain-Machine,Machine Interface, Brain,Machine Interfaces, Brain

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